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To combat for the poor network connectivity problem, we utilize a mobile agent model in the distributed agent environment (DAE).
This is because DMAIP and DMAIP-E adopt a mobile agent model, which could save and balance the energy of sensor nodes.
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We have also conducted experimental study, comparing performance between conventional mobile client/server model and different mobile agent models in accessing a database server through both wireless and wired networks.
This paper addresses the distributed finite-time tracking problem for a group of mobile agents modeled by double-integrator dynamics under a leader with bounded unknown acceleration.
A mobile agent behavioral model is used for negotiations and knowledge acquisition.
Fig. 3 Multi mobile agent data collection model Fig. 4 Task flow model.
Fig. 2 Single mobile agent data collection model.
The coded agent behaviour can be adapted to platform-specific mobile agents by means of the Mobile Agent Adaptation Framework thus enabling re-use of existing mobile agent systems.
The mathematical modeling and simulation of mobile agent systems for the management of the performance of computer networks with emphasis on quantitative decision variables have been reported in the literature.
This paper presents fundamental analytical stochastic models of mobile agent behavior for mobile agent design.
In this paper, we study the key problem of determining the mobile agent itinerary for collaborative processing and model the dynamic mobile agent planning problem.
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